Data Quality meets Machine Learning and Knowledge Graphs

This workshop aims to explore the intricate interplay of data quality, ML, and KGs, elucidating limitations in assessment methodologies, proposing effective methods for objective quality assessment, and addressing challenges on ML and AI in general, verify if and to what extent well-known quality metrics are compliant with ML-based quality assessment, and addressing FAIR principles. We also welcome proposals riding the path of Explainable AI, Large Language Models, Generative AI, and any AI-driven approach that can be applied to the Semantic Web technologies to support and enhance data quality assessment and improvement.

Website

https://dqmlkg.github.io

External link for Data Quality meets Machine Learning and Knowledge Graphs

Industry

Technology, Information and Internet

Company size

2-10 employees

Headquarters

Crete

Type

Educational

Founded

2024